A Mobile and Adaptive Language Learning Environment based on Linked Data

摘要: The possibilities within e-learning environments increased dramatically the last couple of years. They are more and deployed on Web, allow various types tasks fine-grained feedback, they can make use audiovisual material. On other hand, we confronted with an increasing heterogeneity in terms end-user devices (smartphones, tablet PCs, etc.) that able to render advanced Web-based applications consume multimedia content. Therefore, major contribution this paper is adaptive, environment provide rich, personalized experiences a wide range devices. We discuss global architecture data models, as well how integration media delivery be realized. Further, give detailed description reasoner, which responsible for adaptive selection learning items, based usage user profile.